RRepoGEO

REPOGEO REPORT · LITE

loganthorneloe/ml-roadmap

Default branch main · commit d2b598cd · scanned 6/17/2026, 5:23:35 PM

GitHub: 1,320 stars · 159 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface loganthorneloe/ml-roadmap, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to highlight curated resource aggregation

    Why:

    CURRENT
    This is your streamlined roadmap to learning AI and machine learning from scratch, for free. It starts with prerequisites, moves into machine learning fundamentals, and then engineering topics.
    COPY-PASTE FIX
    This is your streamlined roadmap to learning AI and machine learning from scratch, for free. Unlike a single course, this roadmap curates the best free and paid resources from across the web into a coherent, step-by-step learning journey, covering prerequisites, machine learning fundamentals, and engineering topics.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    artificial-intelligence, guides, machine-learning, roadmap, software
    COPY-PASTE FIX
    artificial-intelligence, guides, machine-learning, roadmap, software, learning-path, career-roadmap, curated-resources, education
  • lowreadme#3
    Add a section explaining the roadmap's unique value proposition

    Why:

    COPY-PASTE FIX
    ### Why this Roadmap?
Many resources teach machine learning, but this roadmap stands out by curating the absolute best free and paid learning materials from various sources into one coherent, step-by-step journey. Instead of just one course, you get a guided path through top-tier content, saving you time and ensuring a comprehensive understanding.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface loganthorneloe/ml-roadmap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Andrew Ng's Machine Learning Course on Coursera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Andrew Ng's Machine Learning Course on Coursera · recommended 1×
  2. Google's Machine Learning Crash Course · recommended 1×
  3. fast.ai's "Practical Deep Learning for Coders" (Course v3) · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. IBM's "Machine Learning with Python" on Coursera · recommended 1×
  • CATEGORY QUERY
    What are the best free resources to quickly learn machine learning fundamentals?
    you: not recommended
    AI recommended (in order):
    1. Andrew Ng's Machine Learning Course on Coursera
    2. Google's Machine Learning Crash Course
    3. fast.ai's "Practical Deep Learning for Coders" (Course v3)
    4. Kaggle Learn
    5. IBM's "Machine Learning with Python" on Coursera
    6. StatQuest with Josh Starmer (YouTube Channel)
    7. 3Blue1Brown's "Neural Networks" Series (YouTube Channel)

    AI recommended 7 alternatives but never named loganthorneloe/ml-roadmap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a structured learning path to get started with artificial intelligence as a developer.
    you: not recommended
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of loganthorneloe/ml-roadmap?
    pass
    AI did not name loganthorneloe/ml-roadmap — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts loganthorneloe/ml-roadmap in production, what risks or prerequisites should they evaluate first?
    pass
    AI named loganthorneloe/ml-roadmap explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo loganthorneloe/ml-roadmap solve, and who is the primary audience?
    pass
    AI named loganthorneloe/ml-roadmap explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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loganthorneloe/ml-roadmap — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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